Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals

Microstructure modeling and crystal plasticity parameter identification for predicting the cyclic mechanical behavior of polycrystalline metals

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Computational homogenization permits to capture the influence of the microstructure on the cyclic mechanical behavior of polycrystalline metals. In this work we investigate methods to compute Laguerre tessellations as computational cells of polycrystalline microstructures, propose a new method to as...

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Bibliographic Details
Main Author: Kuhn, Jannick (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2023
Series:Schriftenreihe Kontinuumsmechanik im Maschinenbau 23
Subjects:
Mechanical engineering & materials
Polykristalline Metalle; Ermüdung; Mikromechanische Modellierung; Laguerre-Kachelungen; Texturkoeffizienten-Optimierung; Polycrystalline metals; Fatigue; Micromechanical modeling; Laguerre tessellations; Texture coefficients optimization
Online Access:OAPEN Library: download the publication
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Summary:Computational homogenization permits to capture the influence of the microstructure on the cyclic mechanical behavior of polycrystalline metals. In this work we investigate methods to compute Laguerre tessellations as computational cells of polycrystalline microstructures, propose a new method to assign crystallographic orientations to the Laguerre cells and use Bayesian optimization to find suitable parameters for the underlying micromechanical model from macroscopic experiments.
Physical Description:1 electronic resource (224 p.)
ISBN:KSP/1000154640
Access:Open Access

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